Kai Hui

70 papers A* 13A 6C 1Misc 2Journal 31Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?
CoRR
Hansi Zeng, Kai Hui, Honglei Zhuang, Zhen Qin, Zhenrui Yue, Hamed Zamani, Dana Alon
2025 A* conf
Inference Scaling for Long-Context Retrieval Augmented Generation.
ICLR
Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024 — conf
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.
NAACL (Short Papers)
Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024 A* conf
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
SIGIR
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2024 J jnl
Gecko: Versatile Text Embeddings Distilled from Large Language Models.
CoRR
Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
2024 J jnl
Inference Scaling for Long-Context Retrieval Augmented Generation.
CoRR
Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024 — conf
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
NAACL-HLT (Findings)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023 J jnl
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.
CoRR
Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023 J jnl
Dealing with textual noise for robust and effective BERT re-ranking.
Inf. Process. Manag.
Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
2023 J jnl
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.
CoRR
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2023 A* conf
How Does Generative Retrieval Scale to Millions of Passages?
EMNLP
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023 J jnl
How Does Generative Retrieval Scale to Millions of Passages?
CoRR
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023 J jnl
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
CoRR
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023 A* conf
Learning List-Level Domain-Invariant Representations for Ranking.
NeurIPS
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2023 — conf
PaRaDe: Passage Ranking using Demonstrations with LLMs.
EMNLP (Findings)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023 J jnl
PaRaDe: Passage Ranking using Demonstrations with Large Language Models.
CoRR
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023 A* conf
RD-Suite: A Benchmark for Ranking Distillation.
NeurIPS
Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023 J jnl
RD-Suite: A Benchmark for Ranking Distillation.
CoRR
Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023 A* conf
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
SIGIR
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022 J jnl
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
2022 — conf
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.
ACL (Findings)
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler
2022 J jnl
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.
CoRR
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Don Metzler
2022 A* conf
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.
ICLR
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2022 — conf
Incorporating Ranking Context for End-to-End BERT Re-ranking.
ECIR (1)
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye
2022 J jnl
Learning List-Level Domain-Invariant Representations for Ranking.
CoRR
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2022 J jnl
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
CoRR
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022 J jnl
Retrieval Augmentation for T5 Re-ranker using External Sources.
CoRR
Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
2022 A* conf
Transformer Memory as a Differentiable Search Index.
NeurIPS
Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022 J jnl
Transformer Memory as a Differentiable Search Index.
CoRR
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2021 J jnl
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context.
CoRR
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye
2021 A* conf
Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval.
SIGIR
Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun
2021 J jnl
Contextualized query expansion via unsupervised chunk selection for text retrieval.
Inf. Process. Manag.
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2021 J jnl
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.
CoRR
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2021 A conf
Question Answering using Web Lists.
CIKM
Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau
2021 — conf
Simplified TinyBERT: Knowledge Distillation for Document Retrieval.
ECIR (2)
Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
2021 J jnl
Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing.
CoRR
Kai Hui, Klaus Berberich
2020 — conf
BERT-QE: Contextualized Query Expansion for Document Re-ranking.
EMNLP (Findings)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2020 J jnl
BERT-QE: Contextualized Query Expansion for Document Re-ranking.
CoRR
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2020 J jnl
Simplified TinyBERT: Knowledge Distillation for Document Retrieval.
CoRR
Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
2019 A* conf
Content-Based Weak Supervision for Ad-Hoc Re-Ranking.
SIGIR
Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder
2019 J jnl
Overcoming low-utility facets for complex answer retrieval.
Inf. Retr. J.
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 A* conf
Characterizing Question Facets for Complex Answer Retrieval.
SIGIR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 J jnl
Characterizing Question Facets for Complex Answer Retrieval.
CoRR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 A conf
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval.
WSDM
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2018 A* conf
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
EMNLP
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018 J jnl
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
CoRR
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018 J jnl
Neural relevance model using similarities with elite documents for effective clinical decision support.
Int. J. Data Min. Bioinform.
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
2018 — conf
Overcoming Low-Utility Facets for Complex Answer Retrieval.
ProfS/KG4IR/Data:Search@SIGIR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 J jnl
Overcoming low-utility facets for complex answer retrieval.
CoRR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 — conf
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring.
ACL (1)
Cancan Jin, Ben He, Kai Hui, Le Sun
2017 J jnl
A Position-Aware Deep Model for Relevance Matching in Information Retrieval.
CoRR
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 — conf
A document-based neural relevance model for effective clinical decision support.
BIBM
Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun
2017 J jnl
An Approach for Weakly-Supervised Deep Information Retrieval.
CoRR
Sean MacAvaney, Kai Hui, Andrew Yates
2017 — —
Automatic methods for low-cost evaluation and position-aware models for neural information retrieval.
Kai Hui
2017 — conf
Contextualized PACRR for Complex Answer Retrieval.
TREC
Sean MacAvaney, Andrew Yates, Kai Hui
2017 J jnl
DE-PACRR: Exploring Layers Inside the PACRR Model.
CoRR
Andrew Yates, Kai Hui
2017 Misc conf
Dealing with Incomplete Judgments in Cascade Measures.
ICTIR
Kai Hui, Klaus Berberich, Ida Mele
2017 A conf
Low-Cost Preference Judgment via Ties.
ECIR
Kai Hui, Klaus Berberich
2017 A* conf
PACRR: A Position-Aware Neural IR Model for Relevance Matching.
EMNLP
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 — conf
Position-Aware Representations for Relevance Matching in Neural Information Retrieval.
WWW (Companion Volume)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 J jnl
RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model.
CoRR
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 A conf
Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing.
ECIR
Kai Hui, Klaus Berberich
2016 — conf
Cluster Hypothesis in Low-Cost IR Evaluation with Different Document Representations.
WWW (Companion Volume)
Kai Hui, Klaus Berberich
2015 C conf
Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation.
SPIRE
Kai Hui, Klaus Berberich
2014 — conf
Towards Robust & Reusable Evaluation for Novelty & Diversity.
PIKM@CIKM
Kai Hui
2013 — conf
On Evaluating Query Performance Predictors.
ICPCA/SWS
Yu Huang, Tiejian Luo, Xiang Wang, Kai Hui, Wengjie Wang, Ben He
2013 A conf
Sponsored Search Ad Selection by Keyword Structure Analysis.
ECIR
Kai Hui, Bin Gao, Ben He, Tiejian Luo
2011 Misc conf
A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval.
ICTIR
Kai Hui, Ben He, Tiejian Luo, Bin Wang
2011 — conf
GUCAS at TREC 2011 Microblog Track.
TREC
Xin Zhang, Kai Hui, Ben He, Tiejian Luo
2011 A conf
Relevance weighting using within-document term statistics.
CIKM
Kai Hui, Ben He, Tiejian Luo, Bin Wang